Damping Properties Assessment of Very Highly Compliant Sandwich Materials: Are Traditional Methods Really Too Old?

Author(s):  
Milena Martarelli ◽  
Claudio Santolini ◽  
Alessandro Perazzolo ◽  
Paolo Castellini
2008 ◽  
Vol 2008 (0) ◽  
pp. _434-1_-_434-3_
Author(s):  
Yasumasa NAKANISHI ◽  
Kin'ya MATSUMOTO ◽  
Masaru ZAKO

Methodology ◽  
2012 ◽  
Vol 8 (1) ◽  
pp. 23-38 ◽  
Author(s):  
Manuel C. Voelkle ◽  
Patrick E. McKnight

The use of latent curve models (LCMs) has increased almost exponentially during the last decade. Oftentimes, researchers regard LCM as a “new” method to analyze change with little attention paid to the fact that the technique was originally introduced as an “alternative to standard repeated measures ANOVA and first-order auto-regressive methods” (Meredith & Tisak, 1990, p. 107). In the first part of the paper, this close relationship is reviewed, and it is demonstrated how “traditional” methods, such as the repeated measures ANOVA, and MANOVA, can be formulated as LCMs. Given that latent curve modeling is essentially a large-sample technique, compared to “traditional” finite-sample approaches, the second part of the paper addresses the question to what degree the more flexible LCMs can actually replace some of the older tests by means of a Monte-Carlo simulation. In addition, a structural equation modeling alternative to Mauchly’s (1940) test of sphericity is explored. Although “traditional” methods may be expressed as special cases of more general LCMs, we found the equivalence holds only asymptotically. For practical purposes, however, no approach always outperformed the other alternatives in terms of power and type I error, so the best method to be used depends on the situation. We provide detailed recommendations of when to use which method.


Author(s):  
Reshma P ◽  
Muneer VK ◽  
Muhammed Ilyas P

Face recognition is a challenging task for the researches. It is very useful for personal verification and recognition and also it is very difficult to implement due to all different situation that a human face can be found. This system makes use of the face recognition approach for the computerized attendance marking of students or employees in the room environment without lectures intervention or the employee. This system is very efficient and requires very less maintenance compared to the traditional methods. Among existing methods PCA is the most efficient technique. In this project Holistic based approach is adapted. The system is implemented using MATLAB and provides high accuracy.


AIAA Journal ◽  
1998 ◽  
Vol 36 ◽  
pp. 1094-1099
Author(s):  
Amar T. Chouaki ◽  
Pierre Ladeveze ◽  
Laurent Proslier

2019 ◽  
Vol 16 (2) ◽  
pp. 4-8
Author(s):  
Bahodir Ayupov ◽  

At the end of the ÕÕ age 50-60 y.y. new direction arose in cinematograph of Franceunder name "New wave", which has played the greater role in development in histories of movie. The Cardinal principles of this direction became the refusal of traditional methods i.e. refusing from enormous creative groups, as well as from high-priced technician,stage managers have begun to shoot the films in compact group


2019 ◽  
pp. 96-98
Author(s):  
B. T. Ibragimov ◽  
S. V. Mirzaev ◽  
D. R. Raupov ◽  
A. R. Raupov ◽  
Z. Ilashov

Author(s):  
Abdul Khaleq O. Al-Jubory ◽  
Shaymaa Hussain Salih

In this work, we employ a new normalization Bernstein basis for solving linear Freadholm of fractional integro-differential equations  nonhomogeneous  of the second type (LFFIDEs). We adopt Petrov-Galerkian method (PGM) to approximate solution of the (LFFIDEs) via normalization Bernstein basis that yields linear system. Some examples are given and their results are shown in tables and figures, the Petrov-Galerkian method (PGM) is very effective and convenient and overcome the difficulty of traditional methods. We solve this problem (LFFIDEs) by the assistance of Matlab10.   


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